CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

@article{Kluger2020CONSACRM,
  title={CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus},
  author={Florian Kluger and Eric Brachmann and H. Ackermann and C. Rother and M. Yang and B. Rosenhahn},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={4633-4642}
}
We present a robust estimator for fitting multiple parametric models of the same form to noisy measurements. Applications include finding multiple vanishing points in man-made scenes, fitting planes to architectural imagery, or estimating multiple rigid motions within the same sequence. In contrast to previous works, which resorted to hand-crafted search strategies for multiple model detection, we learn the search strategy from data. A neural network conditioned on previously detected models… Expand
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